Identification and control of induction machines using artificial neural networks
Journal Article
·
· IEEE Transactions on Industry Applications
- Univ. of Natal, Durban (South Africa). Dept. of Electrical Engineering
This paper proposes the use of Artificial Neural Networks (ANN`s) to identify and control an induction machine. Two systems are presented: a system to adaptively control the stator currents via identification of the electrical dynamics, and a system to adaptively control the rotor speed via identification of the mechanical and current-fed system dynamics. Various advantages of these control schemes over other conventional schemes are cited and the performance of the combined speed and current control scheme is compared with that of the standard vector control scheme.
- OSTI ID:
- 64399
- Report Number(s):
- CONF-9310285--
- Journal Information:
- IEEE Transactions on Industry Applications, Journal Name: IEEE Transactions on Industry Applications Journal Issue: 3 Vol. 31; ISSN ITIACR; ISSN 0093-9994
- Country of Publication:
- United States
- Language:
- English
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